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Stealth 3D Encryption Based on Spectral Computed Tomography

delete2025-10-28
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PRE
AI
X
Xiaoyi Wang
F
Fangshi Zhao
H
Houde Wu
L
Li Guo
C
Cai Zhang
G
Gang Shu
H
Hao Su
L
Li Dong
X
Xuening Zhang
P
Peng Wu *
S
Shao‐Kai Sun *
DOI:10.1002/lpor.202500871delete
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Abstract

Abstract

En 中文
Information security is essential across various domains, including daily life, social stability, and national security. However, traditional encryption techniques face insufficient security levels due to two inherent drawbacks: exposed codes and 2D coding. Herein, we propose the concept of stealth 3D encryption (STE) powered by spectral computed tomography (CT). The STE system is constructed using bismuth and barium-based encoding units, which feature high atomic numbers and different K-edge values, enabling identification and differentiation by spectral CT. This system not only offers more complex and rich encryption information (up to 2971 possibilities based on 10 × 10 × 10 encoding units) but also exhibits unique stealth capability, attributable to the high penetration and absolute 3D reconstruction capability of spectral CT imaging. The STE system can be embedded within protected objects and functions effectively even in wooden structures with depths of up to 17 cm, significantly enhancing the protection and security level of the encryption. Additionally, leveraging a U-net neural network engine, we implement a noise-robust, comprehensive pipeline for explicit 3D binary pattern design, STE system fabrication, image recognition analysis, and results validation. The proposed STE system opens up a new paradigm for high-level encryption technology.
Keywords:
bismuth
encryption
spectral CT
stealth
three-dimensions

Journal

L
Laser and Photonics Reviews
IF:
10
Papers:
3.7K
Citations:
2.1W

Organization

T
Tianjin Medical University Cancer Institute and Hospital
Scholars:
877
Papers: 297
Citations: 4.8K
S
sichuan university
Scholars:
11.9W
Papers: 7.7W
Citations: 100
T
Tianjin Medical University
Scholars:
2.4W
Papers: 1.5W
Citations: 1.3W
T
Tianjin Medical University General Hospital
Scholars:
1.2K
Papers: 343
Citations: 5.7K
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